Player
Twiksar
Duggedup13Clutches won
1v3Best clutch won
0.94Rating
39Maps
0.93K/D
75.9ADR
57%HS
69%KAST
103–143Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 11 | 0.94 | 80.0 |
| mirage | 9 | 1.08 | 77.6 |
| anubis | 7 | 0.88 | 71.7 |
| nuke | 5 | 0.87 | 74.0 |
| overpass | 2 | 0.88 | 70.3 |
| dust2 | 2 | 0.90 | 79.5 |
| inferno | 2 | 0.82 | 71.4 |
| train | 1 | 0.54 | 54.8 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Inner Circle AC | mirage | 12–13 | 75.7 |
| Inner Circle AC | overpass | 13–17 | 67.6 |
| Partizan Esports | dust2 | 18–10 | 97.1 |
| Partizan Esports | ancient | 19–8 | 108.6 |
| ENRAGE | mirage | 13–12 | 69.9 |
| ENRAGE | overpass | 15–15 | 72.9 |
| Misa Itemsatis | nuke | 7–12 | 46.3 |
| Misa Itemsatis | mirage | 11–16 | 54.3 |
| Copenhagen Wolves | mirage | 24–21 | 87.8 |
| Copenhagen Wolves | ancient | 20–17 | 92.3 |
| Copenhagen Wolves | anubis | 14–15 | 75.0 |
| Team UNiTY | ancient | 9–7 | 57.1 |
| Team UNiTY | mirage | 19–10 | 110.6 |
| Alliance | nuke | 17–17 | 73.5 |
| Alliance | train | 7–13 | 54.8 |
| Team UNiTY | anubis | 12–14 | 71.5 |
| Team UNiTY | mirage | 14–4 | 105.8 |
| Aurora Gaming | ancient | 20–20 | 104.2 |
| Aurora Gaming | inferno | 10–13 | 68.8 |
| Johnny Speeds | ancient | 20–24 | 77.6 |
Team history
| Team | Maps | Period |
|---|---|---|
| Duggedup | 8 | 2026-03 – 2026-03 |
| ex-Permitta | 9 | 2025-05 – 2025-05 |
 Permitta | 22 | 2025-01 – 2025-03 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 8 | 1.00 | 74.5 | 67% |
| 2025 | 31 | 0.92 | 76.2 | 70% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 Contenders Europe Series 2 | 8 | 1.00 | 74.5 | 67% |
| CCT Season 3 Europe Series 2 | 9 | 1.06 | 80.8 | 74% |
| European Pro League Season 23 - CS2 | 14 | 0.86 | 76.0 | 69% |
| European Pro League Season 25: Division 2 - CS2 | 2 | 0.84 | 63.8 | 61% |
| European Pro League Season 22 - CS2 | 6 | 0.90 | 74.2 | 70% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
